The winter session is open to all undergraduate students to enroll in only 1 class. All classes are delivered completely online.

IS 445

Winter 2024-2025 All Classes

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Data Visualization

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Credit: 3 OR 4 hours.

Data visualization is crucial to conveying information drawn from models, observations or investigations. This course will provide an overview of historical and modern techniques for visualizing data, drawing on quantitative, statistical, and network-focused datasets. Topics will include construction of communicative visualizations, the modern software ecosystem of visualization, and techniques for aggregation and interpretation of data through visualization. Particular attention will be paid to the Python ecosystem and multi-dimensional quantitative datasets.

3 undergraduate hours. 4 graduate hours.

This course satisfies the General Education Criteria in Fall 2022 for:

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IS 445 class schedule data for winter 2025
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	10120	Online	OAU	ARRANGED	n.a.	n.a.	Besser, S	Part of Term: 1 Date Range: 12/20/24-01/17/25 Degree Notes: ONL Info Science rate course. Credit: 3 hours Section Info: This course will be using R (not Python). Some R experience is helpful but not required. The course is entirely an online asynchronous course and is for undergraduate students that are sophomores and above. Restriction(s): Not intended for students with Freshman class standing. Restricted to Undergrad - Urbana-Champaign.